DDPGAT: Integrating MADDPG and GAT for optimized urban traffic light control

SiSRS: Signed social recommender system using deep neural network representation learning

Modeling the Distributed Incident Command System and Present a Learning Approach

Improving brain tumor segmentation performance using CycleGAN based feature extraction

Modular Grammatical Evolution for the Generation of Artificial Neural Networks

Dynamic distributed constraint optimization using multi-agent reinforcement learning

Leveraging social influence based on users activity centers for point-of-interest recommendation

Imaginary Control of a Mobile Vehicle Using Deep Learning Algorithm: A Brain Computer Interface Study

Learning to shift load under uncertain production in the smart grid

Demand Response Management in Smart Homes Using Robust Optimization

BotNet Detection Using Hidden Markov Model within Flow Intervals

A social recommender system based on reliable implicit relationships

learning with policy prediction in continuous state-action multi-agent decision processes

A Multi-agent Reinforcement Learning Algorithm with Fuzzy Approximation for Distributed Stochastic Unit Commitment

A Time and Space-Efficient Compositional Method for Prime and Test Paths Generation

Supervised Word Sense Disambiguation Using New Features Based on Word Embeddings

A novel approach based on multi-view reliability measures to alleviate data sparsity in recommender systems

Incorporating reliable virtual ratings into social recommendation systems

An effective social recommendation method based on user reputation model and rating profile enhancement

A multi-objective market-driven framework for power matching in the smart grid

Fuzzy Least Square Policy Iteration and Its Mathematical Analysis

A social recommendation method based on an adaptive neighbor selection mechanism

Presentation of a New Approach to the Rapid Failure Recovery in Databases using the Alternative Base Method and Failover Clustering Technique

A Scalable Algorithm to Solve Distributed Constraint Optimization

A PERCOLATION MODEL OF MOBILE AD-HOC NETWORKS

Reliability-Aware Performance Optimization of DNN HW Accelerators through Heterogeneous Quantization

FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNs

MAD-TI: Meta-path Aggregated-Graph Attention Network for Drug Target Interaction Prediction

EEPT: Early Discovery of Emerging Entities in Twitter with Semantic Similarity

Modular grammatical evolution for the generation of artificial neural networks:

Using Augmented Genetic Algorithm for Search-Based Software Testing

A Temporal Clustering Approach for Social Recommender Systems

online decision making in adhoc uav teams

Smart Water Grid

Decentralized Area Patrolling for teams of UAVs

Security Games with Ambiguous Beliefs of Agents

A Distributed Energy-Efficient Algorithm for Cellular Target Tracking in Wireless Sensor Networks

Task Allocation in Robotic Swarms: Explicit Communication Based Approaches

Task Allocation in Robotic Swarms: Explicit Communication Based Approaches

Reduce Peak Load By Markov Decision Process and Q-Learning

A Greedy Agent-Based Resource Allocation in the Smart Electricity Markets

Finding Better Teammates in a Semi-cooperative Multi-agent System

Design of Stress Testing for Evaluating Security Agents on Command and Control Systems